Remove 2008 Remove Benchmarking Remove Design Remove Development
article thumbnail

The Surprising Effectiveness of Non-Overlapping, Sensitivity-Based Performance Models

John McCalpin

The presentation discusses a family of simple performance models that I developed over the last 20 years — originally in support of processor and system design at SGI (1996-1999), IBM (1999-2005), and AMD (2006-2008), but more recently in support of system procurements at The Texas Advanced Computing Center (TACC) (2009-present).

article thumbnail

Top500 list: a brief introduction

PDC

It ranks the world’s 500 most powerful supercomputers based on their performance as measured by the Linpack benchmark. Published twice per year (in June and November) since 1993, the Top500 list records the development of supercomputers over the past two to three decades. Performance development. Source: [link].

Energy 40
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Measuring The Performance Of Typefaces For Users (Part 1)

Smashing Magazine

What would the world’s most ideal, best practice and design research-driven highly legible serif, sans serif, and slab serif possibly be like? How good is a new typeface, and how good is it compared to a similar typeface designed in previous years? How well does a typeface work and perform against another similar typeface?

article thumbnail

Real-Real-World Programming with ChatGPT

O'Reilly

And if I switch tabs to view a paper from 2008, then a song from 2008 could start up. To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022.

article thumbnail

Data Mining Problems in Retail

Highly Scalable

Although these problems are very different, we are trying to establish a common framework that helps to design optimization and data mining tasks required for solutions. The design of the model heavily depends on the problem. This model helps to design targeted usage expansion campaigns. Propensity to category expansion.

Retail 152